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Domain adaptation for visual understanding

Springer International Publishing, (2020), 1-144
DOI: 10.1007/978-3-030-30671-7
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Abstract

This unique volume reviews the latest advances in domain adaptation in the training of machine learning algorithms for visual understanding, offering valuable insights from an international selection of experts in the field. The text presents a diverse selection of novel techniques, covering applications of object recognition, face recognition, and action and event recognition.

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Singh, R., Vatsa, M., Patel, V. M., & Ratha, N. (2020). Domain adaptation for visual understanding. Domain Adaptation for Visual Understanding (pp. 1–144). Springer International Publishing. https://doi.org/10.1007/978-3-030-30671-7

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